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Self-supervised and Interpretable Data Cleaning with Sequence Generative Adversarial Networks

Summary: Garf: a SeqGAN-based, self-supervised framework that extracts interpretable conditional repair rules (e.g., city→county) directly from noisy tables. A generator plus two discriminators (D to learn dependencies, D' to iteratively refine rules/data) yields interpretable, high-accuracy cleaning without labeled data. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
hc7e47c3547ff4bdf
Venue
VLDB
Year
2023
Pagerank
6.0538129e-05
Overall Rank
5,643 | 62.07%
DOI
10.14778/3570690.3570694

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{peng_vldb23,
        title = {{Self-supervised and Interpretable Data Cleaning with Sequence Generative Adversarial Networks}},
        author = {Peng, Jinfeng and Shen, Derong and Tang, Nan and Liu, Tieying and Kou, Yue and Nie, Tiezheng and Cui, Hang and Yu, Ge},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {3},
        pages = {433--446},
        doi = {10.14778/3570690.3570694},
        url = {https://doi.org/10.14778/3570690.3570694},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 7 of 7 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 25 of 25 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
104 HoloClean: Holistic Data Repairs with Probabilistic Inference 2017 VLDB 0.00033690989
188 A Cost-Based Model and Effective Heuristic for Repairing Constraints by Value Modification 2005 SIGMOD 0.00025872962
350 Discovering Denial Constraints 2013 VLDB 0.00020253521
377 TURL: Table Understanding through Representation Learning 2021 VLDB 0.00019570264
526 Improving Data Quality: Consistency and Accuracy 2007 VLDB 0.00016886621
652 Don’t be SCAREd: Use SCalable Automatic REpairing with Maximal Likelihood and Bounded Changes 2013 SIGMOD 0.00015121325
697 NADEEF: A Commodity Data Cleaning System 2013 SIGMOD 0.00014694048
716 Guided Data Repair 2011 VLDB 0.00014553463
727 Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms 2015 VLDB 0.00014443394
972 The Data Civilizer System 2017 CIDR 0.00012763234
989 Towards Certain Fixes with Editing Rules and Master Data 2010 VLDB 0.0001265344
1,291 Extending Dependencies with Conditions 2007 VLDB 0.00011156154
1,342 Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning 2020 VLDB 0.00010968223
1,344 Detecting Data Errors: Where are we and what needs to be done? 2016 VLDB 0.00010956518
1,805 Raha: A Configuration-Free Error Detection System 2019 SIGMOD 9.59842e-05
1,991 RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation 2021 VLDB 9.2383849e-05
2,055 Combining Quantitative and Logical Data Cleaning 2016 VLDB 9.1128336e-05
2,964 Towards Dependable Data Repairing with Fixing Rules 2014 SIGMOD 7.8052551e-05
4,347 Horizon: Scalable Dependency-driven Data Cleaning 2021 VLDB 6.6469984e-05
4,723 Data Auditor: Exploring Data Quality and Semantics using Pattern Tableaux 2010 VLDB 6.4528647e-05
4,843 Pattern Functional Dependencies for Data Cleaning 2020 VLDB 6.3839159e-05
5,388 Explaining Repaired Data with CFDs 2018 VLDB 6.151535e-05
5,512 KATARA: Reliable Data Cleaning with Knowledge Bases and Crowdsourcing 2015 VLDB 6.0991137e-05
5,645 Repairing Vertex Labels under Neighborhood Constraints 2014 VLDB 6.0533594e-05
6,152 NADEEF: A Generalized Data Cleaning System 2013 VLDB 5.8693135e-05
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